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Computer Science was always supposed to be taught to everyone, and it wasn’t about getting a job: A historical perspective

Computing Education Research Blog

My argument is that computer science was originally invented to be taught to everyone, but not for economic advantage. I see the LSA effort and our Teaspoon languages connected to the original goals for computer science. Alan Perlis (first ACM Turing Award laureate) made a different argument in his chapter.

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Should universities use differential treatment to admit students?

Futurum

However, Dr Emil Temnyalov , an economist at the University of Technology Sydney in Australia, highlights the effects of socio-economic influences on these scores. While these are the areas of economics commonly in the news, the field is so much broader than this. Stock markets, unemployment, inflation and recession?

Economics 111
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Is a College Degree the Worst Investment You Can Make — or the Best?

ED Surge

Universities generally cover a wide range of subjects, focused on an academic field, say mathematics or computer science. And the argument is that if a university degree is a good investment, it ought to be substantially more valuable than the opportunity cost. My argument is that the risk is too high, and the returns too low.

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The Importance of Diversity in the STEM field

Talk STEM

To achieve the level of equality that is truly beneficial for our society’s ability to advance, there has to be both an awareness of the causes of disparity and a mutual commitment for all contributors to work toward solutions. There really should be no argument that there should be a more diverse makeup of STEM contributors.

STEM 52
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Even beyond Physics: Introducing Multicomputation as a Fourth General Paradigm for Theoretical Science

Stephen Wolfram

Part of what this achieves is to generalize beyond traditional mathematics the kind of constructs that can appear in models. But there is something else too—and it’s from this that the full computational paradigm emerges. At the level of individual events, ideas from the theory and practice of computation are useful. Economics.

Physics 65
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Multicomputation: A Fourth Paradigm for Theoretical Science

Stephen Wolfram

Part of what this achieves is to generalize beyond traditional mathematics the kind of constructs that can appear in models. But there is something else too—and it’s from this that the full computational paradigm emerges. At the level of individual events, ideas from the theory and practice of computation are useful. Economics.

Science 64
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Can AI Solve Science?

Stephen Wolfram

of what’s now Wolfram Language —we were trying to develop algorithms to compute hundreds of mathematical special functions over very broad ranges of arguments. In the past, people had painstakingly computed series approximations for specific cases. Back in 1987—as part of building Version 1.0

Science 122